Oct 2026· Proceedings of International Conference on Innovation in Computing, Science, Engineering and Technology· 0 citations· 16 references
Abstract
As multimedia services evolve from conventional image/video toward immersive and interactive experiences, the traditional network-centric definition of service quality is becoming increasingly insufficient [1]–[5]. Historical network management frameworks have traditionally relied on objective, network-layer performance indicators such as throughput, latency, jitter, and packet loss. However, these parameters alone cannot adequately explain how users perceive and evaluate the quality of immersive and context-dependent multimedia experiences [2]–[6]. This plenary explores the transition from conventional Quality of Service (QoS) centric network management toward a human-centric Quality of Experience (QoE) paradigm for 5G and beyond [2], [3], [7]. Objective No Reference Quality Metrics (NRQMs), designed based on Artificial intelligence (AI), estimate multimedia quality without requiring a pristine reference and are being increasingly important for estimating perceptual-quality in real-time in 5G and beyond networks [6],[7],[13][15]. The presentation further examines how key 5G and beyond network technologies, including Software-Defined Networking (SDN), Network Functions Virtualization (NFV), Multi-Access Edge Computing (MEC), and Network Slicing can provide the architectural foundation for QoE-aware service delivery. The integration of these capabilities with AI techniques opens the possibility of predictive, autonomous, and closed-loop QoE management [6]–[14]. Finally, the plenary discusses how telecommunication service providers can unlock new business values and modernize their offers by transitioning from Service Level Agreement (SLA) based services to Experience Level Agreement (ELA) based service model [11] [16].
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The perception of the impact of agile methods is predominantly positive, and several challenge areas were discovered, but based on this study, agile methods are here to stay.
M. Laanti, O. Salo, P. Abrahamsson· Information and Software Tec...· 260 citations· ⚡20
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